OpenClaw · Detached Retail · Demo

Retail Customer Loyalty Agent

Automated loyalty program management — points tracking, tier progression, reward redemption, and engagement analysis.

AI AgentLLM ServerRetailLoyaltyDetached System
0.5×← Perlahan · Cepat →
0%Stage 0 / 7 · Idle
🎁Tekan Play Demo untuk lihat bagaimana Customer Loyalty Agent mengurus program kesetiaan.
Demo Complete — All Stages Generated

01 WhatsApp Command

02 Loyalty Dashboard

Members
4
Total Points
9,260
Total Spend
RM 46,100
Platinum
1
Menunggu Sedang aktif Selesai

03 Python Script Generation

1
📥
Ambil data pelangganCRM — points, spend, tier, history
2
🧮
Kira tier & pointsPurchase → points conversion + auto-upgrade
3
🎁
Cadangkan rewardPadankan reward mengikut tier & spend
4
📊
Laporan & analisisEngagement trends + redemption history

04 Block Diagram

Menunggu Sedang aktif Selesai

05 System Schematic

Menunggu Sedang aktif Selesai
⚠️ Protect customer data and points balance per PDPA requirements.

06 Simulasi Loyalty Points

Mula Analisis
Processed
0
Total Points
0
Total Spend
RM 0
Rewards Given
0
Ahmad B.2,450GoldRM 50 reward
Siti K.5,800PlatinumVIP access
Rajesh M.890Silver20% voucher
Linda T.120BronzeWelcome bonus
Summary9,2604 tiers4 rewards

07 Loyalty Report

Demo
Loyalty Agent
Total Points
0
Total Spend
RM 0
Highest Tier
-
Rewards
0
Status
Completed

Terminal Log

[SISTEM] Retail Customer Loyalty Agent sedia

System Architecture

📱 Command Layer
WhatsApp instruction
🤖 Agent Layer
Customer fetcher
Points calc
Tier engine
Reward suggester
🛒 Retail Layer
CRM API
Points ledger
Redemption log
Engagement analytics

Safety Notes

  • ⚠️ Protect customer data and points balance per PDPA requirements.
  • Human review required before bulk reward disbursement.
  • Configure role-based access for loyalty dashboards.
  • Browser demo does not touch real CRM APIs.